Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
| Version: | 1.5.1 |
| Depends: | coda, adaptMCMC, LaplacesDemon, graphics, stats, utils, R (≥ 3.5.0) |
| Imports: | methods |
| Published: | 2020-06-29 |
| Author: | Vineetha Warriyar. K. V., Waleed Almutiry, and Rob Deardon |
| Maintainer: | Waleed Almutiry <wkmtierie at qu.edu.sa> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/vineetha-warriyar/EpiILM |
| NeedsCompilation: | yes |
| CRAN checks: | EpiILM results |
| Reference manual: | EpiILM.pdf |
| Vignettes: |
Posterior Predictive Forecasting and Model Assessment |
| Package source: | EpiILM_1.5.1.tar.gz |
| Windows binaries: | r-devel: EpiILM_1.5.1.zip, r-release: EpiILM_1.5.1.zip, r-oldrel: EpiILM_1.5.1.zip |
| macOS binaries: | r-release: EpiILM_1.5.1.tgz, r-oldrel: EpiILM_1.5.1.tgz |
| Old sources: | EpiILM archive |
Please use the canonical form https://CRAN.R-project.org/package=EpiILM to link to this page.